Moving Vehicle Detection and Classification Using Gaussian Mixture Model and Ensemble Deep Learning Technique

Table 3

Performance analysis of the proposed ensemble deep learning technique on the BIT Vehicle Dataset in terms of FDR and FOR.

Feature extraction	Classifier	FDR (%)	FOR (%)
SPT	MSVM	34.7	20.91
	KNN	20	34.72
	DNN	28	22
	LSTM	18.90	17
	Ensemble	11.02	12
WLD	MSVM	29	18.42
	KNN	29.98	14
	DNN	24	13.18
	LSTM	18.07	7.2
	Ensemble	12.03	6.5
Hybrid (SPT + WLD)	MSVM	13	11
	KNN	9	5.01
	DNN	7.67	3.10
	LSTM	6.65	2.87
	Ensemble	3.92	1.90